Autonomous Robotics and Unmanned Aerial Vehicles: Addressing Technical Challenges and Advancing Innovation
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: 15 March 2025 | Viewed by 38
Special Issue Editors
Interests: IoT; low-power wide-area networks; WSN; connected robots
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Autonomous robots and unmanned aerial vehicles (UAVs) are at the forefront of technological innovation, with applications ranging from precision agriculture to environmental monitoring and urban infrastructure management. Despite significant advancements, this field still faces several critical challenges that must be addressed to unlock these technologies’ full potential. This Special Issue seeks to gather high-quality research that tackles these challenges, offering solutions which push the boundaries of what autonomous systems can achieve.
We invite researchers to contribute original articles, reviews, and case studies that address key technical challenges in autonomous robotics and UAVs, including but not limited to the following:
- Advanced Sensing and Perception: Developing robust sensor fusion techniques and improving perception in dynamic and unstructured environments;
- Autonomous Navigation and Path Planning: Enhancing real-time decision-making algorithms for navigating complex and cluttered spaces with minimal human intervention;
- Swarm Robotics and Multi-Agent Systems: Investigating the coordination and control of multiple autonomous systems to achieve collective goals efficiently and reliably;
- Energy Efficiency and Power Management: Optimizing energy consumption for extended operations, especially in battery-limited drones;
- Safety, Security, and Ethical Considerations: Addressing the safety, cybersecurity, and ethical implications of deploying autonomous systems in public and private spaces;
- ISAC: Using integrated sensing and communications to enhance autonomous systems and perform different tasks;
- LLM-Enhanced Decision Support, Communication, and Context-Awareness in Autonomous Systems: Exploring the use of large language models (LLMs) to improve context-aware decision making, human–machine interaction, and communication capabilities in autonomous robots and UAVs.
Dr. Carmen Delgado
Dr. Lanfranco Zanzi
Guest Editors
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Keywords
- advanced sensing and perception
- autonomous navigation
- path planning
- swarm robotics
- multi-agent systems
- power management
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